Topic detection in social media is a hot yet challenging issue in social computing given most data there are heterogeneous,time-evolving and linguistically ambiguous.In this paper,the authors explore the idea of achieving this goal through complex network modeling which has demonstrated excellent interpretability of the real world.Specifically,a complex network was constructed based on preprocessed topic words where two parameters,namely the emergency and correlation coefficients,were also introduced to all...
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